Papers
1
Total Citations
2
H-Index
1
About
Abish Torgaev is a researcher advancing the frontier of intelligent robotics, with a primary focus on artificial vision systems for manipulators and industrial automation. His most-cited work, "Artificial vision for manipulators: A review" (2024), provides a comprehensive synthesis of how machine vision is transforming robotic manipulation—from precision machining and motion modelling to object capture and handling. Torgaev’s review critically examines the escalating complexity of modern industrial robots, highlighting the integration of visual feedback as a cornerstone for adaptive, autonomous operation. Though his citation count is still growing, his contribution lies in mapping the current landscape and future directions of vision-guided manipulators, offering a valuable resource for engineers and researchers seeking to bridge computer vision with real-world robotic control. His work underscores a pivotal shift toward more perceptive, flexible manufacturing systems, positioning him as an emerging voice in the field of applied robotics and intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1Artificial vision for manipulators: A review2 citations · 2024